| The Bonding Properties of Solid Steel to Liquid Aluminum |
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| 作者姓名： | ZHANGPeng DUYunhui LIUHanwu ZENGDaben BALimin |
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| 作者单位： | [1]DepartmentofMechanicalEngineering,BeijingJiaotongUniversity,Beijing100044,China [2]DepartmentofMechanicalBigineering,TsinghuaUniversity,Beijing100084,China [3]AnshanAutomobileFittingsFactory,Anshan114014,China |
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| 基金项目： | Funded by the National Natural Science Foundation of China(No.50274047 and 50304001)，the Foundation of Ministry of Edu cation of China，and the Foundation of Bejing Jiaotong University |
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| 摘 要： | The bonding of solid steel plate to liquid aluminum was studied using rapid solidification. The relationship models of interfacial shear strength and thickness of interfacial layer of bonding plate vs bonding parameters ( such as preheat temperature of steel plate, temperature of aluminum liquid and bonding time ) were respectively established by artificial neural networks perfectly. The bonding parameters for the largest interfacial shear strength were optimized with genetic algorithm successfully. They are 226℃ for preheating temperature of steel plate, 723℃ for temperature of aluminum liquid and 15.8s for bonding time, and the largest interfacial shear strength of bonding plate is 71.6MPa. Under these conditions, the corresponding reasonable thickness of interfacial layer (10.8μm) is gotten using the relationship model established by artificial neural networks.
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| 关 键 词： | 压焊 脱氧钢 液态铝 快速固化 神经网络 遗传算法 |
| 收稿时间： | 23 March 2004 |
| 修稿时间： | 24 August 2004 |
The bonding properties of solid steel to liquid aluminum |
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| ZHANGPeng DUYunhui LIUHanwu ZENGDaben BALimin.The Bonding Properties of Solid Steel to Liquid Aluminum[J].Journal of Wuhan University of Technology. Materials Science Edition,2005,20(1):25-29. |
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| Authors: | Zhang Peng Ph D Du Yunhui Liu Hanwu Zeng Daben Ba Limin |
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| Affiliation: | (1) Department of Mechanical Engineering, Beijing Jiaotong University, 100044 Beijing, China;(2) Department of Mechanical Bigineering, Tsinghua University, 100084 Beijing, China;(3) Anshan Automobile Fittings Factory, 114014 Anshan, China |
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| Abstract: | The bonding of solid steel plate to liquid aluminum was studied using rapid solidification. The relationship models of interfacial
shear strength and thickness of interfacial layer of bonding plate vs bonding parameters (such as preheat temperature of steel
plate, temperature of aluminum liquid and bonding time) were respectively established by artificial neural networks perfectly.
The bonding parameters for the largest interfacial shear strength were optimized with genetic algorithm successfully. They
are 226°C for preheating temperature of steel plate, 723°C for temperature of aluminum liquid and 15.8s for bonding time,
and the largest interfacial shear strength of bonding plate is 71.6MPa. Under these conditions, the corresponding reasonable
thickness of interfacial layer (10.8μm) is gotten using the relationship model established by artificial neural networks.
Funded by the National Natural Science Foundation of China (No. 50274047 and 50304001), the Foundation of Ministry of Education
of China, and the Foundation of Bejing Jiaotong University |
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| Keywords: | bonding of steel plate to liquid aluminum rapid solidification artificial neural networks genetic algorithm |
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